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Detection of position of replaced mechanical heart valve with ANN

机译:用人工神经网络检测更换的机械心脏瓣膜的位置

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A mechanical heart valve is a device substituted for native heart valve. These valves are generally replaced with mitral or aorta valves. To found whether aorta or mitral heart valve replaced with mechanical one of patients is easy for specialist using stethoscope or chest X-ray. Expert system evaluating mechanical heart valve disease cannot deduce position of replaced heart valve. Thus, we aimed to determine which heart valve of patients was replaced with mechanical one to use preprocessing step in expert systems finding malfunctioning mechanical valve in this study. Electrocardiogram signal and 6 features extracted from power density of heart sounds were used to determine replaced heart valve using artificial neural networks. The heart sounds were separated into four parts according to recording area and sound component. Then, artificial neural networks was separately trained and tested for four sounds using the 6 features. As a result, the mechanical heart valve of patients was detected with 96.55% accuracy from the features of second heart sounds recorded from mitral area.
机译:机械心脏瓣膜是代替天然心脏瓣膜的设备。这些瓣膜通常用二尖瓣或主动脉瓣膜代替。对于使用听诊器或胸部X光检查的专科医生来说,要容易地发现用机械方法代替一位患者的主动脉瓣或二尖瓣是很容易的。评估机械性心脏瓣膜疾病的专家系统无法推断出更换的心脏瓣膜的位置。因此,我们的目的是确定在本研究中,专家系统中哪些患者的心脏瓣膜被机械性瓣膜置换,以在专家系统中使用预处理步骤来发现机械瓣膜出现故障。心电图信号和从心音功率密度中提取的6个特征用于通过人工神经网络确定置换后的心脏瓣膜。根据录制区域和声音成分,心音分为四个部分。然后,分别使用6种功能对人工神经网络进行了训练,并针对4种声音进行了测试。结果,从二尖瓣区域记录的第二次心音的特征中,以96.55%的准确度检测到了患者的机械心脏瓣膜。

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